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Study on the Effect of Parameter Sensitivity on Engine Optimization Results

Author

Listed:
  • Kuo Jiang

    (Marine Engineering College, Dalian Maritime University, Dalian 116026, China)

  • Hong Zeng

    (Marine Engineering College, Dalian Maritime University, Dalian 116026, China
    Dalian Maritime University Smart Ship Limited Company, Dalian 116026, China)

  • Zefan Wu

    (Marine Engineering College, Dalian Maritime University, Dalian 116026, China)

  • Jianping Sun

    (Marine Engineering College, Dalian Maritime University, Dalian 116026, China)

  • Cai Chen

    (Marine Engineering College, Dalian Maritime University, Dalian 116026, China)

  • Bing Han

    (National Engineering Research Center of Ship & Shipping Control System, Shanghai 200100, China)

Abstract

The effects of six control parameters, intake valve opening timing (IVO), exhaust valve opening timing (EVO), compression ratio (CR), engine speed, intake temperature, and intake pressure on engine output power, indicated specific fuel consumption (ISFC), and nitrogen oxides (NOx) emissions, are analyzed through engine simulation. The six parameters were categorized into two groups based on the degree of influence: high influence (EVO, speed and intake pressure) and low influence (CR, IVO and intake temperature). The relationship between these two groups of parameters and power, ISFC and NOx emissions was explored. Optimization was carried out for each of the two groups of parameters, and the optimization of the high impact parameters resulted in a higher diversity and wider distribution of the solution set. On the other hand, the optimization of the low-impact parameters resulted in a more concentrated distribution of the solution set, while better reflecting the trade-off between the optimization objectives. For the optimal solutions for both sets of parameters, the high-impact parameters provided significant optimization performance compared to the standard operating conditions. Although power and ISFC were optimized, the optimal solution for the low-impact parameter performed poorly with a significant increase in NOx emissions. Therefore, the parameters should be evaluated for optimization using high impact parameters to improve engine performance.

Suggested Citation

  • Kuo Jiang & Hong Zeng & Zefan Wu & Jianping Sun & Cai Chen & Bing Han, 2023. "Study on the Effect of Parameter Sensitivity on Engine Optimization Results," Energies, MDPI, vol. 16(23), pages 1-16, December.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:23:p:7899-:d:1293507
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    References listed on IDEAS

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